Attributions and Coping in Sexually Abused Adolescents Referred for Group Treatment
Bibliographic record
Abstract
This study aims to assess the predictive value of two sets of variables, self-attributions, and coping behaviors, on sexually abused (SA) teenagers' functioning, while controlling for abuse-related and family variables. A total of 103 female adolescents completed self-report measures to assess their psychological functioning in terms of anxiety, depression, PTSD, sexual concerns, dissociation, anger, their self-injurious behaviors, antisocial behaviors, and drug use. After controlling for SA and family characteristics, final regression models indicate that attributions and coping behaviors explained between 22% and 39% of additional unique variance for seven out of the nine measures of adolescent functioning. Attributions and coping behaviors did not significantly explain additional variance for scores of antisocial behaviors and drug use. Personal attributions of blame for negative events were the strongest predictors of adolescents' functioning. Implications for future research and interventions are highlighted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".